Enhancing cancer drug discovery: QSAR modeling with machine learning and chemical representations

• Raúl Acosta-Murillo ,

  Contributed equally to this work with: Raúl Acosta-Murillo, José Carlos Ortiz-Bayliss, Patricio Adrian Zapata-Morin

  Roles Data curation, Formal analysis, Methodology, Writing – original draft

  Affiliation Department of Microbiology and Immunology, School of Biological Sciences, Universidad Autónoma de Nuevo León, Pedro de Alba SN, San Nicolás de los Garza, Nuevo León, Mexico

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• José Carlos Ortiz-Bayliss ,

  Contributed equally to this work with: Raúl Acosta-Murillo, José Carlos Ortiz-Bayliss, Patricio Adrian Zapata-Morin

  Roles Investigation, Methodology, Supervision, Writing – review & editing

  Affiliation Tecnologico de Monterrey, School of Engineering and Sciences, Eugenio Garza Sada, Monterrey, Nuevo León, Mexico

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• Patricio Adrian Zapata-Morin

  Contributed equally to this work with: Raúl Acosta-Murillo, José Carlos Ortiz-Bayliss, Patricio Adrian Zapata-Morin

  Roles Conceptualization, Investigation, Methodology, Supervision, Writing – review & editing

  * E-mail: patricio.zapatamor@uanl.edu.mx

  Affiliation Department of Microbiology and Immunology, School of Biological Sciences, Universidad Autónoma de Nuevo León, Pedro de Alba SN, San Nicolás de los Garza, Nuevo León, Mexico

  https://orcid.org/0000-0003-1851-2293

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